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from the
TRENCHESTRENCHES
what you should know before you go to production
AWS LAMBDAAWS LAMBDA
hi,I’mYanCui
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS user since 2009
AWS Lambda from the trenches
AWS Lambda from the trenches
apr, 2016
hidden complexities and dependencies
low utilisation to leave room for traffic spikes
EC2 scaling is slow, so scale earlier
lots of cost for unused resources
up to 30 mins for deployment
deployment required downtime
- Dan North
“lead time to someone saying
thank you is the only reputation
metric that matters.”
AWS Lambda from the trenches
“what would good
look like for us?”
be small
be fast
have zero downtime
have no lock-step
DEPLOYMENTS SHOULD...
FEATURES SHOULD...
be deployable independently
be loosely-coupled
WE WANT TO...
minimise cost for unused resources
minimise ops effort
reduce tech mess
deliver visible improvements faster
nov, 2016
170 Lambda functions in prod
1.2 GB deployment packages in prod
95% cost saving vs EC2
15x no. of prod releases per month
time
is a good fit
1st function in prod!
time
is a good fit
?
time
is a good fit
1st function in prod!
ALERTING
CI / CD
TESTING
LOGGING
MONITORING
170 functions
WOOF!
? ?
time
is a good fit
1st function in prod!
SECURITY
DISTRIBUTED
TRACING
CONFIG
MANAGEMENT
evolving the PLATFORM
rebuilt search
Legacy Monolith Amazon Kinesis Amazon Lambda
Amazon CloudSearch
Legacy Monolith Amazon Kinesis Amazon Lambda
Amazon CloudSearchAmazon API Gateway Amazon Lambda
new analytics pipeline
Legacy Monolith Amazon Kinesis Amazon Lambda
Google BigQuery
Legacy Monolith Amazon Kinesis Amazon Lambda
Google BigQuery
1 developer, 2 days
design production
(his 1st serverless project)
Legacy Monolith Amazon Kinesis Amazon Lambda
Google BigQuery
“nothing ever got done
this fast at Skype!”
- Chris Twamley
- Dan North
“lead time to someone saying
thank you is the only reputation
metric that matters.”
Rebuilt
with Lambda
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS Lambda from the trenches
Rebuilt
with Lambda
BigQuery
BigQuery
grapheneDB
BigQuery
grapheneDB
BigQuery
grapheneDB
BigQuery
getting PRODUCTION READY
CHOOSE A
FRAMEWORK
DEPLOYMENT
http://serverless.com
https://github.com/awslabs/serverless-application-model
http://apex.run
https://apex.github.io/up
https://github.com/claudiajs/claudia
https://github.com/Miserlou/Zappa
http://gosparta.io/
TESTING
amzn.to/29Lxuzu
Level of Testing
1.Unit
do our objects do the right thing?
are they easy to work with?
AWS Lambda from the trenches
Level of Testing
1.Unit
2.Integration
does our code work against code we
can’t change?
handler
handler
test by invoking
the handler
Level of Testing
1.Unit
2.Integration
3.Acceptance
does the whole system work?
Level of Testing
unit
integration
acceptance
feedback
confidence
“…We find that tests that mock external
libraries often need to be complex to
get the code into the right state for the
functionality we need to exercise.
The mess in such tests is telling us that
the design isn’t right but, instead of
fixing the problem by improving the
code, we have to carry the extra
complexity in both code and test…”
Don’t Mock Types You Can’t Change
“…The second risk is that we have to be
sure that the behaviour we stub or mock
matches what the external library will
actually do…
Even if we get it right once, we have to
make sure that the tests remain valid
when we upgrade the libraries…”
Don’t Mock Types You Can’t Change
Don’t Mock Types You Can’t Change
Services
AWS Lambda from the trenches
“…Wherever possible, an acceptance
test should exercise the system end-to-
end without directly calling its internal
code.
An end-to-end test interacts with the
system only from the outside: through
its interface…”
Testing End-to-End
Legacy Monolith Amazon Kinesis Amazon Lambda
Amazon CloudSearchAmazon API Gateway Amazon Lambda
Legacy Monolith Amazon Kinesis Amazon Lambda
Amazon CloudSearchAmazon API Gateway Amazon Lambda
Test Input
Legacy Monolith Amazon Kinesis Amazon Lambda
Amazon CloudSearchAmazon API Gateway Amazon Lambda
Test Input
Validate
CI + CD PIPELINE
“the earlier you consider CI + CD, the
more time you save in the long run”
- me
“…We prefer to have the end-to-end
tests exercise both the system and the
process by which it’s built and
deployed…
This sounds like a lot of effort (it is), but
has to be done anyway repeatedly
during the software’s lifetime…”
Testing End-to-End
“deployment scripts
that only live on the CI
box is a disaster
waiting to happen”
- me
Jenkins build config deploys and tests
unit + integration tests
deploy
acceptance tests
if [ "$1" = "deploy" ] && [ $# -eq 4 ]; then
STAGE=$2
REGION=$3
PROFILE=$4
npm install
AWS_PROFILE=$PROFILE 'node_modules/.bin/sls' deploy -s $STAGE -r $REGION
elif [ "$1" = "int-test" ] && [ $# -eq 4 ]; then
STAGE=$2
REGION=$3
PROFILE=$4
npm install
AWS_PROFILE=$PROFILE npm run int-$STAGE
elif [ "$1" = "acceptance-test" ] && [ $# -eq 4 ]; then
STAGE=$2
REGION=$3
PROFILE=$4
npm install
AWS_PROFILE=$PROFILE npm run acceptance-$STAGE
else
usage
exit 1
fi
build.sh allows repeatable builds on both local & CI
AWS Lambda from the trenches
Auto Auto Manual
LOGGING
AWS Lambda from the trenches
2016-07-12T12:24:37.571Z 994f18f9-482b-11e6-8668-53e4eab441ae
GOT is off air, what do I do now?
2016-07-12T12:24:37.571Z 994f18f9-482b-11e6-8668-53e4eab441ae
GOT is off air, what do I do now?
UTC Timestamp API Gateway Request Id
your log message
function name
date
function version
LOG OVERLOAD
CENTRALISE LOGS
CENTRALISE LOGS
MAKE THEM EASILY
SEARCHABLE
+ +
the elk stack
CloudWatch Logs
CloudWatch Logs AWS Lambda ELK stack
CloudWatch Events
AWS Lambda from the trenches
http://bit.ly/2f3zxQG
DISTRIBUTED TRACING
AWS Lambda from the trenches
“my followers didn’t
receive my new post!”
- a user
where could the
problem be?
correlation IDs*
* eg. request-id, user-id, yubl-id, etc.
ROLL YOUR OWN
CLIENTS
kinesis client
http client
sns client
http://bit.ly/2k93hAj
ROLL YOUR OWN
CLIENTS
X-RAY
Amazon X-Ray
Amazon X-Ray
traces do not span over
API Gateway
useful, but hampered by
current limitations
http://bit.ly/2s9yxmA
MONITORING + ALERTING
“where do I install
monitoring agents?”
you can’t
• invocation Count
• error Count
• latency
• throttling
• granular to the minute
• support custom metrics
• same metrics as CW
• better dashboard
• support custom metrics
https://www.datadoghq.com/blog/monitoring-lambda-functions-datadog/
AWS Lambda from the trenches
“how do I batch up
and send logs in the
background?”
you can’t
(kinda)
console.log(“hydrating yubls from db…”);
console.log(“fetching user info from user-api”);
console.log(“MONITORING|1489795335|27.4|latency|user-api-latency”);
console.log(“MONITORING|1489795335|8|count|yubls-served”);
timestamp metric value
metric type
metric namemetrics
logs
CloudWatch Logs AWS Lambda
ELK stack
logs
metrics
CloudWatch
http://bit.ly/2gGredx
DASHBOARDS
DASHBOARDS
SET ALARMS
DASHBOARDS
SET ALARMS
TRACK APP-LEVEL
METRICS
Not Only CloudWatch
AWS Lambda from the trenches
“you really don't want
your monitoring
system to fail at the
same time as the
system it monitors”
- me
CONFIG MANAGEMENT
easily and quickly propagate
config changes
AWS Lambda from the trenches
CENTRALISED
CONFIG SERVICE
config service
goes here
AWS Lambda from the trenches
AWS Lambda from the trenches
AWS Lambda from the trenches
EC2
parameter
store
CENTRALISED
CONFIG SERVICE
CLIENT LIBRARY
AWS Lambda from the trenches
http://bit.ly/2yLUjwd
sensitive data should be encrypted
in-flight, and at rest
(credentials, connection string, etc.)
role-based access
KMS
EC2 Parameter Store
HTTPS
role-based access
encrypted in-flight
EC2 Parameter Store
encrypt
role-based access
EC2 Parameter Store
encrypted at-rest
HTTPS
role-based access
EC2 Parameter Store
encrypted in-flight
KMS
FRAMEWORK
PLUG-INS
PRO TIPS
SERVERLESS
FRAMEWORK
max 75 GB total deployment package size*
* limit is per AWS region
CLEAN UP OLD
PACKAGES
Janitor Monkey
Janitor Lambda
http://bit.ly/2xzVu4a
disable versionFunctions in
install Serverless framework as dev
dependency at project level
dev dependencies are excluded since 1.16.0
http://bit.ly/2vzBqhC
http://amzn.to/2vtUkDU
UNDERSTAND
COLDSTARTS
Amazon X-Ray
1st invocation
2nd invocation
cold start
source: http://bit.ly/2oBEbw2
http://bit.ly/2tb7bLJ
EMBRACE
NODE.JS & PYTHON
http://bit.ly/2rtCCBz
C#
http://bit.ly/2rtCCBz
Java
http://bit.ly/2rtCCBz
NodeJs, Python
http://bit.ly/2rtCCBz
what about type safety?
AWS Lambda from the trenches
complexity ceiling of a
Node.js app
complexity
complexity ceiling of a
Node.js app
complexity
referential transparency
immutability as default
type inference
option types
union types
…
for managing complexity
complexity ceiling of a
Node.js app
complexity
referential transparency
immutability as default
type inference
option types
union types
…
complexity ceiling of a
Node.js app
complexity
complexity ceiling of a
Node.js Lambda function
if you can limit the complexity
of your solution, maybe you
won’t need the tools for
managing that complexity.
me
AVOID HARD
ASSUMPTIONS
ABOUT FUNCTION
LIFETIME
USE STATE
FOR
OPTIMISATION
AVOID
COLDSTARTS
CloudWatch Event AWS Lambda
CloudWatch Event AWS Lambda
ping
ping
ping
ping
CloudWatch Event AWS Lambda
ping
ping
ping
ping
CloudWatch Event AWS Lambda
ping
ping
ping
ping
HEALTH CHECKS?
max 5 mins execution time
USE RECURSION
FOR LONG
RUNNING TASKS
CONSIDER
PARTIAL
FAILURES
“AWS Lambda polls your stream and
invokes your Lambda function. Therefore, if
a Lambda function fails, AWS Lambda
attempts to process the erring batch of
records until the time the data expires…”
http://docs.aws.amazon.com/lambda/latest/dg/retries-on-errors.html
should function fail on
partial/any failures?
SNS
Kinesis
SQS
after 3 attempts
share processing logic
events are processed in
chronological order
failed events are retried out
of sequence
PROCESS SQS
WITH RECURSIVE
FUNCTIONS
http://bit.ly/2npomX6
AVOID HOT
KINESS
STREAMS
“Each shard can support up to
5 transactions per second for
reads, up to a maximum total data
read rate of 2 MB per second.”
http://docs.aws.amazon.com/streams/latest/dev/service-sizes-and-limits.html
“If your stream has 100 active shards,
there will be 100 Lambda functions
running concurrently. Then, each
Lambda function processes events
on a shard in the order that they arrive.”
http://docs.aws.amazon.com/lambda/latest/dg/concurrent-executions.html
when no. of processors goes up…
ReadProvisionedThroughputExceeded
can have too many Kinesis read operations…
ReadRecords.IteratorAge
unpredictable spikes in read ‘latency’…
can kinda workaround…
http://bit.ly/2uv5LsH
clever but costly
for subsystems that don’t have
to be realtime, or are task-
based (ie. order doesn’t
matter), consider other
triggers such as S3 or SNS.me
@theburningmonk
theburningmonk.com
github.com/theburningmonk
sign up here: http://bit.ly/2xCwJEe

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